Senior AI Platform Engineer — Autonomous Agent Systems

Tata Consultancy Services; Chicago (IL); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Discretionary Incentive

Medical Coverage

Dental & Vision

Disability Insurance

Pet Insurance

Parental Leaves

Auto & Home Insurance

Identity Theft Protection

Commuter Benefits

Certification Reimbursement

Training Reimbursement

Vacation & Holidays

Sick Leave

Legal Assistance

401K Plan

Performance Bonus

College Fund

Student Loan Refinancing

Job summary

Tata Consultancy Services is seeking a skilled AI systems engineer in Chicago, IL to design and develop autonomous multi-agent AI workflows and reusable platform capabilities. You will implement memory, RAG, ontology, and graph-based knowledge for agent collaboration while ensuring security, observability, and cost-attribution across enterprise AI workloads.

The role requires hands-on experience with Python, SQL, REST APIs, Azure API Management, and event-driven architecture, with emphasis on

Qualifications

• Bachelor's degree in CS or related field.

Responsibilities

• Design and develop autonomous AI systems and workflows.
• Build reusable platform capabilities with security, auditing, and cost attribution.
• Design orchestration and communication using event-driven architecture and messaging.
• Implement memory, RAG, ontology, graph-based knowledge for agent collaboration.
• Create governance, observability, and optimization frameworks for enterprise AI workloads.

Skills

Python

SQL

REST APIs

Azure API Mgmt

API gateways

Event-driven

AI platform

RAG

Vector databases

Semantic caching

Knowledge graphs

Observability

Monitoring

Logging

FinOps

Security

Governance

Multi-tenant

Education

Bachelor of Computer Science

Tools

AI platforms

Data platforms

Job description

Tata Consultancy Services is seeking a skilled AI systems engineer in Chicago, IL to design and develop autonomous multi-agent AI workflows and reusable platform capabilities. You will implement memory, RAG, ontology, and graph-based knowledge for agent collaboration while ensuring security, observability, and cost-attribution across enterprise AI workloads.

The role requires hands-on experience with Python, SQL, REST APIs, Azure API Management, and event-driven architecture, with emphasis on